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ORCIDYong Ge 0001
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- affiliation: University of Arizona, USA
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- Yong Ge — disambiguation page
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2020 – today
- 2025
[j49]Hefu Zhang
, Yong Ge, Yan Zhuang, Enhong Chen:
Where is the Next Step? Predicting the Scientific Impact of Research Career. IEEE Trans. Big Data 11(3): 1116-1127 (2025)- [j48]Yeshuai He, Jianqiang Cheng, Yong Ge:
Learning to Hash Knowledge Graph: Element-wise Rotation. ACM Trans. Intell. Syst. Technol. 16(6): 127:1-127:25 (2025) - [j47]Tianyang Xie, Yong Ge, Shuojia Guo:
Accuracy, Fairness, Diversity All at Once: An Influence-Function-Guided Data Enhancement Approach for Recommender System. ACM Trans. Knowl. Discov. Data 19(9): 171:1-171:27 (2025) - [c82]Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim:
The 6th International Workshop on Talent and Management Computing (TMC 2025). KDD (2) 2025: 6316-6317 - [i16]Hao Liu, Yong Ge:
Employee Turnover Prediction: A Cross-component Attention Transformer with Consideration of Competitor Influence and Contagious Effect. CoRR abs/2502.01660 (2025) - 2024
- [j46]Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao:
Boosting Factorization Machines via Saliency-Guided Mixup. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4443-4459 (2024) - [j45]Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen:
Attacking Social Media via Behavior Poisoning. ACM Trans. Knowl. Discov. Data 18(7): 169 (2024) - [j44]Tianyang Xie, Yong Ge:
Enhance Knowledge Graph Embedding by Mixup. IEEE Trans. Knowl. Data Eng. 36(2): 569-580 (2024) - [j43]Yanan Wang, Yong Ge, Zhepeng Li, Li Li, Rui Chen:
M3Rec: A Context-Aware Offline Meta-Level Model-Based Reinforcement Learning Approach for Cold-Start Recommendation. ACM Trans. Inf. Syst. 42(6): 146:1-146:27 (2024) - [c81]Shengming Zhang, Hao Zhong, Yong Ge, Hui Xiong:
Bring Me a Good One: Seeking High-potential Startups using Heterogeneous Venture Information Networks. HICSS 2024: 4323-4332 - [c80]Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim:
The 5th International Workshop on Talent and Management Computing (TMC'2024). KDD 2024: 6759-6760 - 2023
- [j42]Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen:
Influence-Driven Data Poisoning for Robust Recommender Systems. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11915-11931 (2023) - [j41]Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu:
Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop. IEEE Trans. Knowl. Data Eng. 35(2): 1624-1636 (2023) - [j40]Defu Lian, Zhihao Zhu, Kai Zheng, Yong Ge, Xing Xie, Enhong Chen:
Network Representation Lightening From Hashing to Quantization. IEEE Trans. Knowl. Data Eng. 35(5): 5119-5131 (2023) - [j39]Hao Liu, Yong Ge:
Job and Employee Embeddings: A Joint Deep Learning Approach. IEEE Trans. Knowl. Data Eng. 35(7): 7056-7067 (2023) - [c79]Shengming Zhang, Hao Zhong, Yong Ge, Hui Xiong:
Bring Me a Good One: Seeking High-potential Startups using Heterogeneous Venture Information Networks. ICIS 2023 - [c78]Wuchao Li, Chao Feng, Defu Lian, Yuxin Xie, Haifeng Liu, Yong Ge, Enhong Chen:
Learning Balanced Tree Indexes for Large-Scale Vector Retrieval. KDD 2023: 1353-1362 - [c77]Hengshu Zhu, Hui Xiong, Yong Ge, Ee-Peng Lim:
The 4th International Workshop on Talent and Management Computing (TMC'2023). KDD 2023: 5909-5910 - [c76]Zepu Lu, Jin Chen, Defu Lian, Zaixi Zhang, Yong Ge, Enhong Chen:
Knowledge Distillation for High Dimensional Search Index. NeurIPS 2023 - 2022
- [j38]Weichao Liang, Zhiang Wu, Zhe Li, Yong Ge:
CrimeTensor: Fine-Scale Crime Prediction via Tensor Learning with Spatiotemporal Consistency. ACM Trans. Intell. Syst. Technol. 13(2): 33:1-33:24 (2022) - [j37]Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang:
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. IEEE Trans. Knowl. Data Eng. 34(10): 4753-4766 (2022) - [c75]Weijia Zhang, Hao Liu, Jindong Han, Yong Ge, Hui Xiong:
Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing. KDD 2022: 2471-2481 - [c74]Chuang Zhao, Hongke Zhao, Yong Ge, Runze Wu, Xudong Shen:
Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games. WWW 2022: 3387-3395 - [i15]Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao:
Boosting Factorization Machines via Saliency-Guided Mixup. CoRR abs/2206.08661 (2022) - 2021
- [j36]Zhepeng (Lionel) Li, Yong Ge, Xue Bai:
What Will Be Popular Next? Predicting Hotspots in Two-Mode Social Networks. MIS Q. 45(2) (2021) - [j35]Yong Ge, Zijun Yao, Huayu Li:
Computing Co-Location Patterns in Spatial Data with Extended Objects: A Scalable Buffer-Based Approach. IEEE Trans. Knowl. Data Eng. 33(2): 401-414 (2021) - [j34]Yong Ge, Huayu Li, Alexander Tuzhilin:
Route Recommendations for Intelligent Transportation Services. IEEE Trans. Knowl. Data Eng. 33(3): 1169-1182 (2021) - [j33]Le Wu, Peijie Sun, Richang Hong, Yong Ge, Meng Wang:
Collaborative Neural Social Recommendation. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 464-476 (2021) - [j32]Richang Hong, Yuan He, Le Wu, Yong Ge, Xindong Wu:
Deep Attributed Network Embedding by Preserving Structure and Attribute Information. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1434-1445 (2021) - [c73]Dan Lu, Le Wu, Rui Chen, Qilong Han, Yichen Wang, Yong Ge:
Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior. APWeb/WAIM (2) 2021: 384-398 - [c72]Qi Liu, Jin Zhang, Defu Lian, Yong Ge, Jianhui Ma, Enhong Chen:
Online Additive Quantization. KDD 2021: 1098-1108 - [c71]Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen:
Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD 2021: 1830-1840 - [c70]Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Senchao Yuan:
Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. SIGIR 2021: 1074-1083 - 2020
- [j31]Ming He, Hao Guo, Guangyi Lv, Le Wu, Yong Ge, Enhong Chen, Haiping Ma:
Leveraging proficiency and preference for online Karaoke recommendation. Frontiers Comput. Sci. 14(2): 273-290 (2020) - [j30]Peiqin Zhang, Yong Ge, Hsun-Ming Lee:
E-WOM's Impact on App Development. J. Comput. Inf. Syst. 60(5): 418-427 (2020) - [j29]Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
Micro- and macro-level churn analysis of large-scale mobile games. Knowl. Inf. Syst. 62(4): 1465-1496 (2020) - [j28]Lei Chen, Zhiang Wu, Jie Cao, Guixiang Zhu, Yong Ge:
Travel Recommendation via Fusing Multi-Auxiliary Information into Matrix Factorization. ACM Trans. Intell. Syst. Technol. 11(2): 22:1-22:24 (2020) - [j27]Junwei Li, Le Wu, Richang Hong, Kun Zhang, Yong Ge, Yan Li:
A Joint Neural Model for User Behavior Prediction on Social Networking Platforms. ACM Trans. Intell. Syst. Technol. 11(6): 72:1-72:25 (2020) - [j26]Keli Xiao, Zeyang Ye, Lihao Zhang, Wenjun Zhou, Yong Ge, Yuefan Deng:
Multi-User Mobile Sequential Recommendation for Route Optimization. ACM Trans. Knowl. Discov. Data 14(5): 52:1-52:28 (2020) - [j25]Hongke Zhao, Binbin Jin, Qi Liu, Yong Ge, Enhong Chen, Xi Zhang, Tong Xu:
Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding. IEEE Trans. Knowl. Data Eng. 32(8): 1652-1665 (2020) - [j24]Zhiang Wu, Changsheng Li, Jie Cao, Yong Ge:
On Scalability of Association-rule-based Recommendation: A Unified Distributed-computing Framework. ACM Trans. Web 14(3): 13:1-13:21 (2020) - [c69]Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi:
Explainable Recommender Systems via Resolving Learning Representations. CIKM 2020: 895-904 - [c68]Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu:
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. ICDM 2020: 1008-1013 - [c67]Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen:
Geography-Aware Sequential Location Recommendation. KDD 2020: 2009-2019 - [i14]Xi Liu, Li Li, Ping-Chun Hsieh, Muhe Xie, Yong Ge, Rui Chen:
Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning. CoRR abs/2001.09595 (2020) - [i13]Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang:
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. CoRR abs/2002.00844 (2020) - [i12]Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi:
Explainable Recommender Systems via Resolving Learning Representations. CoRR abs/2008.09316 (2020) - [i11]Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu:
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. CoRR abs/2008.12001 (2020) - [i10]Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu:
Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop. CoRR abs/2010.02506 (2020) - [i9]Yanan Wang, Yong Ge, Li Li, Rui Chen, Tong Xu:
Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation. CoRR abs/2012.02476 (2020)
2010 – 2019
- 2019
- [j23]Zeyang Ye, Keli Xiao, Yong Ge, Yuefan Deng:
Applying Simulated Annealing and Parallel Computing to the Mobile Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 31(2): 243-256 (2019) - [j22]Yanjie Fu, Guannan Liu, Yong Ge, Pengyang Wang, Hengshu Zhu, Chunxiao Li, Hui Xiong:
Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data. IEEE Trans. Knowl. Data Eng. 31(3): 535-548 (2019) - [c66]Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge:
Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective. AAAI 2019: 4023-4030 - [c65]Xianshan Qu, Li Li, Xi Liu, Rui Chen, Yong Ge, Soo-Hyun Choi:
A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding. IEEE BigData 2019: 1887-1896 - [c64]Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang:
Personalized Multimedia Item and Key Frame Recommendation. IJCAI 2019: 1431-1437 - [c63]Haoyu Wang, Defu Lian, Yong Ge:
Binarized Collaborative Filtering with Distilling Graph Convolutional Network. IJCAI 2019: 4802-4808 - [i8]Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games. CoRR abs/1901.06247 (2019) - [i7]Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang:
Personalized Multimedia Item and Key Frame Recommendation. CoRR abs/1906.00246 (2019) - [i6]Haoyu Wang, Defu Lian, Yong Ge:
Binarized Collaborative Filtering with Distilling Graph Convolutional Networks. CoRR abs/1906.01829 (2019) - 2018
- [j21]Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Xing Xie, Meng Wang:
Product Adoption Rate Prediction in a Competitive Market. IEEE Trans. Knowl. Data Eng. 30(2): 325-338 (2018) - [j20]Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui:
Scalable Content-Aware Collaborative Filtering for Location Recommendation. IEEE Trans. Knowl. Data Eng. 30(6): 1122-1135 (2018) - [j19]Defu Lian, Kai Zheng, Yong Ge, Longbing Cao, Enhong Chen, Xing Xie:
GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization. ACM Trans. Inf. Syst. 36(3): 33:1-33:29 (2018) - [j18]Hongke Zhao, Qi Liu, Hengshu Zhu, Yong Ge, Enhong Chen, Yan Zhu, Junping Du:
A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending. IEEE Trans. Syst. Man Cybern. Syst. 48(1): 21-33 (2018) - [j17]Ming He, Yong Ge, Enhong Chen, Qi Liu, Xuesong Wang:
Exploring the Emerging Type of Comment for Online Videos: DanMu. ACM Trans. Web 12(1): 1:1-1:33 (2018) - [c62]Zhuang Feng, Zhiyuan Zhou, Richang Hong, Shijie Hao, Yong Ge, Meng Wang:
Single Low-Light Image Enhancement by Fusing Multiple Sources. BigMM 2018: 1-4 - [c61]Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. ICDM 2018: 277-286 - [c60]Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang, Xing Xie:
High-order Proximity Preserving Information Network Hashing. KDD 2018: 1744-1753 - [c59]Zeyang Ye, Lihao Zhang, Keli Xiao, Wenjun Zhou, Yong Ge, Yuefan Deng:
Multi-User Mobile Sequential Recommendation: An Efficient Parallel Computing Paradigm. KDD 2018: 2624-2633 - [c58]Ming He, Yan Chen, Qi Liu, Yong Ge, Enhong Chen, Guiquan Liu, Lichao Liu, Xin Li:
Understand and Assess People's Procrastination by Mining Computer Usage Log. KSEM (1) 2018: 187-199 - [i5]Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Meng Wang, Junping Du:
Explainable Social Contextual Image Recommendation with Hierarchical Attention. CoRR abs/1806.00723 (2018) - [i4]Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. CoRR abs/1808.06573 (2018) - 2017
- [j16]Hongke Zhao, Yong Ge, Qi Liu, Guifeng Wang, Enhong Chen, Hefu Zhang:
P2P Lending Survey: Platforms, Recent Advances and Prospects. ACM Trans. Intell. Syst. Technol. 8(6): 72:1-72:28 (2017) - [j15]Chuanren Liu, Hui Xiong, Spiros Papadimitriou, Yong Ge, Keli Xiao:
A Proactive Workflow Model for Healthcare Operation and Management. IEEE Trans. Knowl. Data Eng. 29(3): 586-598 (2017) - [j14]Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Junping Du, Meng Wang:
Modeling the Evolution of Users' Preferences and Social Links in Social Networking Services. IEEE Trans. Knowl. Data Eng. 29(6): 1240-1253 (2017) - [j13]Richang Hong, Chuan He, Yong Ge, Meng Wang, Xindong Wu:
User Vitality Ranking and Prediction in Social Networking Services: A Dynamic Network Perspective. IEEE Trans. Knowl. Data Eng. 29(6): 1343-1356 (2017) - [j12]Yuanchun Zhou, Yang Zhang, Yong Ge, Zhenghua Xue, Yanjie Fu, Danhuai Guo, Jing Shao, Tiangang Zhu, Xuezhi Wang, Jianhui Li:
An efficient data processing framework for mining the massive trajectory of moving objects. Comput. Environ. Urban Syst. 61: 129-140 (2017) - [c57]Boshu Ru, Charles Warner-Hillard, Yong Ge, Lixia Yao:
Identifying Serendipitous Drug Usages in Patient Forum Data - A Feasibility Study. HEALTHINF 2017: 106-118 - [c56]Huayu Li, Yong Ge, Defu Lian, Hao Liu:
Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach. IJCAI 2017: 2117-2123 - [c55]Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie, Longbing Cao:
Discrete Content-aware Matrix Factorization. KDD 2017: 325-334 - [c54]Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, Le Wu:
Tracking the Dynamics in Crowdfunding. KDD 2017: 625-634 - [c53]Huayu Li, Yong Ge, Hengshu Zhu, Hui Xiong, Hongke Zhao:
Prospecting the Career Development of Talents: A Survival Analysis Perspective. KDD 2017: 917-925 - [c52]Huayu Li, Martin Renqiang Min, Yong Ge, Asim Kadav:
A Context-aware Attention Network for Interactive Question Answering. KDD 2017: 927-935 - [e1]Gang Li, Yong Ge, Zili Zhang, Zhi Jin, Michael Blumenstein:
Knowledge Science, Engineering and Management - 10th International Conference, KSEM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Proceedings. Lecture Notes in Computer Science 10412, Springer 2017, ISBN 978-3-319-63557-6 [contents] - [r1]Yong Ge:
Mobile Sequential Recommendation. Encyclopedia of GIS 2017: 1275-1281 - 2016
- [j11]Yi Zheng, Qi Liu, Enhong Chen, Yong Ge, J. Leon Zhao:
Exploiting multi-channels deep convolutional neural networks for multivariate time series classification. Frontiers Comput. Sci. 10(1): 96-112 (2016) - [j10]Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu, Tong Xu, Hui Xiong:
Tracking the evolution of social emotions with topic models. Knowl. Inf. Syst. 47(3): 517-544 (2016) - [j9]Yanjie Fu, Hui Xiong, Yong Ge, Yu Zheng, Zijun Yao, Zhi-Hua Zhou:
Modeling of Geographic Dependencies for Real Estate Ranking. ACM Trans. Knowl. Discov. Data 11(1): 11:1-11:27 (2016) - [c51]Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang:
Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective. AAAI 2016: 279-286 - [c50]Ming He, Yong Ge, Le Wu, Enhong Chen, Chang Tan:
Predicting the Popularity of DanMu-enabled Videos: A Multi-factor View. DASFAA (2) 2016: 351-366 - [c49]Hongke Zhao, Qi Liu, Yong Ge, Ruoyan Kong, Enhong Chen:
Group Preference Aggregation: A Nash Equilibrium Approach. ICDM 2016: 679-688 - [c48]Defu Lian, Zhenyu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie:
Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation. ICDM 2016: 1029-1034 - [c47]Huayu Li, Richang Hong, Defu Lian, Zhiang Wu, Meng Wang, Yong Ge:
A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback. IJCAI 2016: 1683-1689 - [c46]Defu Lian, Yong Ge, Nicholas Jing Yuan, Xing Xie, Hui Xiong:
Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback. IJCAI 2016: 1732-1738 - [c45]Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu:
Days on Market: Measuring Liquidity in Real Estate Markets. KDD 2016: 393-402 - [c44]Huayu Li, Yong Ge, Richang Hong, Hengshu Zhu:
Point-of-Interest Recommendations: Learning Potential Check-ins from Friends. KDD 2016: 975-984 - [c43]Hongke Zhao, Qi Liu, Guifeng Wang, Yong Ge, Enhong Chen:
Portfolio Selections in P2P Lending: A Multi-Objective Perspective. KDD 2016: 2075-2084 - [c42]Huayu Li, Richang Hong, Zhiang Wu, Yong Ge:
A Spatial-Temporal Probabilistic Matrix Factorization Model for Point-of-Interest Recommendation. SDM 2016: 117-125 - [i3]Huayu Li, Martin Renqiang Min, Yong Ge, Asim Kadav:
A Context-aware Attention Network for Interactive Question Answering. CoRR abs/1612.07411 (2016) - 2015
- [j8]Hengshu Zhu, Chuanren Liu, Yong Ge, Hui Xiong, Enhong Chen:
Popularity Modeling for Mobile Apps: A Sequential Approach. IEEE Trans. Cybern. 45(7): 1303-1314 (2015) - [j7]Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen:
Discovery of Ranking Fraud for Mobile Apps. IEEE Trans. Knowl. Data Eng. 27(1): 74-87 (2015) - [c41]Huayu Li, Richang Hong, Shiai Zhu, Yong Ge:
Point-of-Interest Recommender Systems: A Separate-Space Perspective. ICDM 2015: 231-240 - [c40]Huayu Li, Rongcheng Lin, Richang Hong, Yong Ge:
Generative Models for Mining Latent Aspects and Their Ratings from Short Reviews. ICDM 2015: 241-250 - [c39]Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui:
Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data. ICDM 2015: 261-270 - [c38]Danhuai Guo, Yingqiu Zhu, Wei Xu, Yong Ge, Yuanchun Zhou, Jianhui Li:
How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show. ICDM Workshops 2015: 1025-1030 - [c37]Zhefeng Wang, Enhong Chen, Qi Liu, Yu Yang, Yong Ge, Biao Chang:
Maximizing the Coverage of Information Propagation in Social Networks. IJCAI 2015: 2104-2110 - [c36]Xiaojun Quan, Chunyu Kit, Yong Ge, Sinno Jialin Pan:
Short and Sparse Text Topic Modeling via Self-Aggregation. IJCAI 2015: 2270-2276 - [c35]Rongcheng Lin, Huayu Li, Xiaojun Quan, Richang Hong, Zhiang Wu, Yong Ge:
Regularizing Flat Latent Variables with Hierarchical Structures. IJCAI 2015: 3671-3677 - [c34]Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, Chen Zhu:
Real Estate Ranking via Mixed Land-use Latent Models. KDD 2015: 299-308 - [c33]Xiao Xiao, Yong Ge, Yunchang Guo, Danhuai Guo, Yi Shen, Yuanchun Zhou, Jianhui Li:
Automated Detection for Probable Homologous Foodborne Disease Outbreaks. PAKDD (1) 2015: 563-575 - [c32]Huayu Li, Hengshu Zhu, Yong Ge, Yanjie Fu, Yuan Ge:
Personalized TV Recommendation with Mixture Probabilistic Matrix Factorization. SDM 2015: 352-360 - [i2]Zhefeng Wang, Enhong Chen, Qi Liu, Yu Yang, Yong Ge, Biao Chang:
Information Coverage Maximization in Social Networks. CoRR abs/1510.03822 (2015) - 2014
- [j6]Qi Liu, Enhong Chen, Hui Xiong, Yong Ge, Zhongmou Li, Xiang Wu:
A Cocktail Approach for Travel Package Recommendation. IEEE Trans. Knowl. Data Eng. 26(2): 278-293 (2014) - [j5]Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu:
Cost-Aware Collaborative Filtering for Travel Tour Recommendations. ACM Trans. Inf. Syst. 32(1): 4:1-4:31 (2014) - [c31]Biao Chang, Hengshu Zhu, Yong Ge, Enhong Chen, Hui Xiong, Chang Tan:
Predicting the Popularity of Online Serials with Autoregressive Models. CIKM 2014: 1339-1348 - [c30]Yanjie Fu, Yong Ge, Yu Zheng, Zijun Yao, Yanchi Liu, Hui Xiong, Jing Yuan:
Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors. ICDM 2014: 120-129 - [c29]Bo Jin, Yong Ge, Hengshu Zhu, Li Guo, Hui Xiong, Chao Zhang:
Technology Prospecting for High Tech Companies through Patent Mining. ICDM 2014: 220-229 - [c28]Liang Wu, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Jianhui Li, Yuanchun Zhou, Hui Xiong:
Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval. ICDM 2014: 610-619 - [c27]Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu:
Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective. ICDM 2014: 697-706 - [c26]Changxia Tao, Yong Ge, Qinbao Song, Yuan Ge, Olufemi A. Omitaomu:
Metric Ranking of Invariant Networks with Belief Propagation. ICDM 2014: 1001-1006 - [c25]Hongke Zhao, Le Wu, Qi Liu, Yong Ge, Enhong Chen:
Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management. ICDM 2014: 1109-1114 - [c24]Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen:
Mobile app recommendations with security and privacy awareness. KDD 2014: 951-960 - [c23]Yanjie Fu, Hui Xiong, Yong Ge, Zijun Yao, Yu Zheng, Zhi-Hua Zhou:
Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering. KDD 2014: 1047-1056 - [c22]Chuanren Liu, Yong Ge, Hui Xiong, Keli Xiao, Wei Geng, Matt Perkins:
Proactive workflow modeling by stochastic processes with application to healthcare operation and management. KDD 2014: 1593-1602 - [c21]Chuanren Liu, Tianming Hu, Yong Ge, Hui Xiong:
Finding Well-Clusterable Subspaces for High Dimensional Data - A Numerical One-Dimension Approach. PAKDD (2) 2014: 311-323 - [c20]Yanjie Fu, Bin Liu, Yong Ge, Zijun Yao, Hui Xiong:
User Preference Learning with Multiple Information Fusion for Restaurant Recommendation. SDM 2014: 470-478 - [c19]Jinsong Lan, Cheng Long, Raymond Chi-Wing Wong, Youyang Chen, Yanjie Fu, Danhuai Guo, Shuguang Liu, Yong Ge, Yuanchun Zhou, Jianhui Li:
A New Framework for Traffic Anomaly Detection. SDM 2014: 875-883 - [c18]Yi Zheng, Qi Liu, Enhong Chen, Yong Ge, J. Leon Zhao:
Time Series Classification Using Multi-Channels Deep Convolutional Neural Networks. WAIM 2014: 298-310 - [i1]Liang Wu, Hui Xiong, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Yuanchun Zhou, Jianhui Li:
Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval. CoRR abs/1409.7165 (2014) - 2013
- [j4]Liuzhi Yin, Yong Ge, Keli Xiao, Xuehua Wang, Xiaojun Quan:
Feature selection for high-dimensional imbalanced data. Neurocomputing 105: 3-11 (2013) - [j3]Yong Ge, Guofei Jiang, Min Ding, Hui Xiong:
Ranking Metric Anomaly in Invariant Networks. ACM Trans. Knowl. Discov. Data 8(2): 8:1-8:30 (2013) - [c17]Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen:
Ranking fraud detection for mobile apps: a holistic view. CIKM 2013: 619-628 - 2012
- [j2]Xiaojun Quan, Liu Wenyin, Wenyu Dou, Hui Xiong, Yong Ge:
Link Graph Analysis for Business Site Selection. Computer 45(3): 64-69 (2012) - [c16]Chuanren Liu, Hui Xiong, Yong Ge, Wei Geng, Matt Perkins:
A Stochastic Model for Context-Aware Anomaly Detection in Indoor Location Traces. ICDM 2012: 449-458 - [c15]Qi Liu, Biao Xiang, Enhong Chen, Yong Ge, Hui Xiong, Tengfei Bao, Yi Zheng:
Influential seed items recommendation. RecSys 2012: 245-248 - [c14]Chuanren Liu, Tianming Hu, Yong Ge, Hui Xiong:
Which Distance Metric is Right: An Evolutionary K-Means View. SDM 2012: 907-918 - [c13]Chuanren Liu, Jianjun Xie, Yong Ge, Hui Xiong:
Stochastic Unsupervised Learning on Unlabeled Data. ICML Unsupervised and Transfer Learning 2012: 111-122 - 2011
- [j1]Yong Ge, Hui Xiong, Wenjun Zhou, Siming Li, Ramendra K. Sahoo:
Multifocal learning for customer problem analysis. ACM Trans. Intell. Syst. Technol. 2(3): 24:1-24:22 (2011) - [c12]Yong Ge, Hui Xiong, Chuanren Liu, Zhi-Hua Zhou:
A Taxi Driving Fraud Detection System. ICDM 2011: 181-190 - [c11]Qi Liu, Yong Ge, Zhongmou Li, Enhong Chen, Hui Xiong:
Personalized Travel Package Recommendation. ICDM 2011: 407-416 - [c10]Yong Ge, Chuanren Liu, Hui Xiong, Jian Chen:
A taxi business intelligence system. KDD 2011: 735-738 - [c9]Yong Ge, Qi Liu, Hui Xiong, Alexander Tuzhilin, Jian Chen:
Cost-aware travel tour recommendation. KDD 2011: 983-991 - [c8]Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu:
Collaborative filtering with collective training. RecSys 2011: 281-284 - 2010
- [c7]Yong Ge, Hui Xiong, Zhi-Hua Zhou, Hasan Timucin Ozdemir, Jannite Yu, Kuo Chu Lee:
Top-Eye: top-k evolving trajectory outlier detection. CIKM 2010: 1733-1736 - [c6]Jie Yang, Yong Ge, Hui Xiong, Yingying Chen, Hongbo Liu:
Performing Joint Learning for Passive Intrusion Detection in Pervasive Wireless Environments. INFOCOM 2010: 767-775 - [c5]Wenjun Zhou, Hui Xiong, Yong Ge, Jannite Yu, Hasan Timucin Ozdemir, Kuo Chu Lee:
Direction clustering for characterizing movement patterns. IRI 2010: 165-170 - [c4]Yong Ge, Hui Xiong, Alexander Tuzhilin, Keli Xiao, Marco Gruteser, Michael J. Pazzani:
An energy-efficient mobile recommender system. KDD 2010: 899-908
2000 – 2009
- 2009
- [c3]Yong Ge, Hui Xiong, Wenjun Zhou, Ramendra K. Sahoo, Xiaofeng Gao, Weili Wu:
Multi-focal learning and its application to customer service support. KDD 2009: 349-358 - 2007
- [c2]Yong Ge, Richang Hong, Zhiwei Gu, Rong Zhang, Xiuqing Wu:
A Probability Model for Image Annotation. ICME 2007: 827-830 - [c1]Richang Hong, Chao Wang, Yong Ge, Meng Wang, Xiuqing Wu, Rong Zhang:
Salience Preserving Multi-Focus Image Fusion. ICME 2007: 1663-1666
Coauthor Index
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